Staff Data Engineer

4 weeks ago

Gurgaon, Haryana, India ANSR Summit Consulting Full time

Role and Responsibilities:

  • Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes
  • Contribute to the design and documentation of our data lake platform
  • Partner with Sr staff on the development and maintenance of data governance policies and procedures that ensure data quality, accuracy, consistency, and privacy.
  • Mentor other data engineers, providing technical guidance, and ensuring that team members have the necessary skills and resources to perform their duties.
  • Conduct code and design reviews with junior and peer developers
  • Write clean code to develop data pipelines and necessary infrastructure as code
  • Aid in setting coding standards for team members to follow
  • Partner with cross functional teams to understand requirements and effectively design appropriate solutions.
  • Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed
  • Aid in determining and implementing KPIs for performance and stability of platform
  • Participate in the review of new technologies and tools for our data teams
  • Partner with engineering and other cross functional teams to collect and implement technical and design requirements
  • Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects.
  • Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement.
  • Participate in an on call rotation.
    Job Requirement :
  • 8 years of related experience; or 6 years and an advanced degree
  • Bachelors degree in engineering, computer science, math, data engineering or another related field or equivalent work experience
  • Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas.
  • Strong Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis
  • Expertise with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles
  • Knowledge of data pipeline tools and workflow engines, e.g. Apache Airflow and Spark.
  • Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code/AWS Cloud Formation/Terraform.
  • Successfully contributes to the entire development lifecycle of teams products
  • Exposure to secure coding practices, access controls, authentication, and audit. AWS Lake formation preferred.
  • Strong experience with SQL (SQL Server, Postgres) and Python, Scala
  • Identify opportunities for process improvement as well as efficiency in solutions
  • Demonstrated ability to mentor junior team members
  • Excellent analytical and time management skills, with a proven ability to deliver value independently
  • Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders
  • Ability to participate in on-call rotation
Preferred:
  • FinTech industry experience
  • Understanding of MPP Data Warehouse (Redshift, Greenplum)
  • Experience with Graph database

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